def test_insert_compose():
comp = transforms.Compose([transforms.GaussianNoise()])
comp.insert(0, transforms.FixedWindow(100))
assert isinstance(comp.transforms[0], transforms.FixedWindow)
comp = transforms.Compose([transforms.GaussianNoise()])
comp.insert(1, transforms.FixedWindow(100))
assert isinstance(comp.transforms[1], transforms.FixedWindow)
def test_fixedwindow():
size = 128
is_pass = False
try:
_ = transforms.FixedWindow(size, -1)
except ValueError:
is_pass = True
assert is_pass
def test_fixedwindow_np_3():
size = 128
fw = transforms.FixedWindow(size, 1000)
is_pass = False
try:
_ = fw(np_x)
except IndexError:
is_pass = True
assert is_pass
def test_fixedwindow_torch_2():
size = 1000
fw = transforms.FixedWindow(size)
is_pass = False
try:
_ = fw(torch_x)
except IndexError:
is_pass = True
assert is_pass
def test_fixedwindow_np_1():
size = 128
fw = transforms.FixedWindow(size)
out = fw(np_x)
assert out.shape[0] == size
assert out.shape[1] == features
def test_extend_compose():
comp = transforms.Compose([transforms.GaussianNoise()])
comp.extend([transforms.FixedWindow(100), transforms.RandomScaling()])
assert isinstance(comp.transforms[0], transforms.GaussianNoise)
assert isinstance(comp.transforms[1], transforms.FixedWindow)
assert isinstance(comp.transforms[2], transforms.RandomScaling)
def test_append_compose():
comp = transforms.Compose([transforms.GaussianNoise()])
comp.append(transforms.FixedWindow(100))
assert isinstance(comp.transforms[-1], transforms.FixedWindow)
